Minghang Zhu

According to our database, Minghang Zhu authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LEADER: Learning Reliable Local-to-Global Correspondences for LiDAR Relocalization.

Jianshi Wu, Minghang Zhu, Dunqiang Liu, Wen Li, Sheng Ao, Siqi Shen, Chenglu Wen, Cheng Wang

CoRR, April, 2026

From Single Scan to Sequential Consistency: A New Paradigm for LIDAR Relocalization.

Minghang Zhu, Zhijing Wang, Yuxin Guo, Wen Li, Sheng Ao, Cheng Wang

CoRR, February, 2026

RCP-LO: A Relative Coordinate Prediction Framework for Generalizable Deep LiDAR Odometry.

Chen Liu, Wen Li, Yongshu Huang, Minghang Zhu, Yuyang Yang, Dunqiang Liu, Sheng Ao, Cheng Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

OpenReward: Learning to Reward Long-form Agentic Tasks via Reinforcement Learning.

Ziyou Hu, Zhengliang Shi, Minghang Zhu, Haitao Li, Teng Sun, Pengjie Ren, Suzan Verberne, Zhaochun Ren

CoRR, October, 2025

Evolution without Large Models: Training Language Model with Task Principles.

Minghang Zhu, Shen Gao, Zhengliang Shi, Jiabao Fang, Pengjie Ren, Zhaochun Ren, Zhumin Chen, Shuo Shang

CoRR, July, 2025

Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems.

Minghang Zhu, Zhengliang Shi, Zhiwei Xu, Shiguang Wu, Lingjie Wang, Pengjie Ren, Zhaochun Ren, Zhumin Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement.

Yongshu Huang, Chen Liu, Minghang Zhu, Sheng Ao, Chenglu Wen, Cheng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference.

Juhua Zhang, Zhiliang Tian, Minghang Zhu, Yiping Song, Taishu Sheng, Siyi Yang, Qiunan Du, Xinwang Liu, Minlie Huang, Dongsheng Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Simulating Financial Market via Large Language Model based Agents.

Shen Gao, Yuntao Wen, Minghang Zhu, Jianing Wei, Yuhan Cheng, Qunzi Zhang, Shuo Shang

CoRR, 2024

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum.

Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum.

Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma

CoRR, 2023

2022

Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and Matching.

Zhenning Yu, Xin Liu, Yiu-Ming Cheung, Minghang Zhu, Xing Xu, Nannan Wang, Taihao Li

Proceedings of the IEEE International Conference on Data Mining, 2022